Comments (7)
letting you guys know that numba
has recently opensourced their numbapro
paid library, so everyone can use 'gpu' and 'parallel' targets now! I'd be really excited to see if anyone would use any of those in tensorflow
from tensorflow.
Our team has recently released a library for python-native TensorFlow operator definition and optimization: opveclib. It is not part of the numba ecosystem, but I believe could be an alternative solution to @datnamer 's desired functionality.
from tensorflow.
So I did some digging in the documentation. It would be convenient to be able to write a new op with Numba.
from tensorflow.
๐
from tensorflow.
I think that 'close' belongs over in tensorflow/skflow #47
from tensorflow.
Oops, sorry.
from tensorflow.
Since we have py_func() you can utilize any python numpy based library, so this feature seems addressed. If you have a more targeted feature request, we'd be happy to talk about it. Thanks!
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Related Issues (20)
- `Overflow` in `tf.raw_ops.SparseReduceMaxSparse` when there are too large values in `input_shape`.
- `Check failed` in `tf.linalg.diag` HOT 1
- `Assertion failure` in `tf.signal.inverse_stft` when the value of `frame_length` is too large.
- `Check failed` in `tf.raw_ops.GatherV2` when the value of `axis` is too large. HOT 1
- `Overflow` in `tf.raw_ops.SparseReduceSumSparse` when there are too large values in `input_shape`.
- cl ๅฝไปค่ก ๆ ๆณๆๅผ calibration_statistics_collector_average_min_max.obj.params HOT 2
- TensorFlow lite Whisper model get worse inference result. HOT 1
- Not getting the same result when using .tflite in C and Python.
- Math problem HOT 1
- Cannot import tflite_support.task when tensorflow is installed HOT 2
- Incapable of loading a tf v1 model
- Action of the matrix exponential on vectors HOT 2
- Fetch HOT 1
- XNNPACK delegate doesn't support to broadcast last dimension for Prelu operator HOT 1
- Failing Tensorflow unit tests for BF16 hardware
- Interpreter in Swift fails with `EXC_BAD_ACCESS` at `Interpreter.copy(data, toInputAt: 0)` and `Interpreter.input(at: 0)` in some circumstances HOT 1
- Could not find any nvml.h during building from source in docker HOT 1
- Configurable attribute "deps" in @XNNPACK//:prod_microkernels doesn't match this configuration
- benchmark_model no longer cross-compiles for Android from macOS HOT 1
- Inference time using Interpreter API on Android inconsistent and 10โ50 times slower than same tflite model on iOS HOT 9
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